Applying Genetic Algorithm to Beam Position Design of ScanSAR

Zhu Li; He Dong-yuan; Ni Jin-lin; Liu Guo-sui

Volume 26 Issue 2

Feb. 2004

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Article Navigation > Journal of Electronics & Information Technology > 2004 > 26(2): 188-193

Zhu Li, He Dong-yuan, Ni Jin-lin, Liu Guo-sui. Applying Genetic Algorithm to Beam Position Design of ScanSAR[J]. Journal of Electronics & Information Technology, 2004, 26(2): 188-193.

Citation:

Zhu Li, He Dong-yuan, Ni Jin-lin, Liu Guo-sui. Applying Genetic Algorithm to Beam Position Design of ScanSAR[J]. Journal of Electronics & Information Technology, 2004, 26(2): 188-193.

Zhu Li, He Dong-yuan, Ni Jin-lin, Liu Guo-sui. Applying Genetic Algorithm to Beam Position Design of ScanSAR[J]. Journal of Electronics & Information Technology, 2004, 26(2): 188-193.

Citation:

Zhu Li, He Dong-yuan, Ni Jin-lin, Liu Guo-sui. Applying Genetic Algorithm to Beam Position Design of ScanSAR[J]. Journal of Electronics & Information Technology, 2004, 26(2): 188-193.

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Applying Genetic Algorithm to Beam Position Design of ScanSAR

Zhu Li^{①②;何东元},
He Dong-yuan,
Ni Jin-lin,
Liu Guo-sui

Received Date: 2002-09-24
Rev Recd Date: 2003-04-23
Publish Date: 2004-02-19

Abstract

Abstract

In this paper, phase weighting method using genetic algorithm is presented in order to make pattern broaden, satisfying the need of swath. In addition, the broadened pattern is simulated. According to the broadened pattern, the SAR system parameter and the orbit parameter, the range and azimuth ambiguity levels and the system sensitivity are calculated and the results are given. Based on these results, beam positions are devised. The simulation results show that phase weighting method using genetic algorithm is feasible.

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References(1)

References

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